Results 161 to 170 of about 58,015 (253)

Engineered Gravel Trench Hyporheic Exchange to Create Cold‐Water Thermal Refuges

open access: yesRiver Research and Applications, EarlyView.
ABSTRACT Warming rivers are driving a loss or fragmentation of cold‐water habitat and providing the impetus to develop proactive thermal management approaches to maintain suitable habitat in rivers. One innovative approach is through the creation of cold‐water thermal refuges during periods of thermal stress for aquatic species.
Kathryn A. Smith   +3 more
wiley   +1 more source

HOWLish: a CNN for automated wolf howl detection

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Automated detection of wolf howls presents a great opportunity for large‐scale passive acoustic monitoring of wolf populations. Here we present HOWLish, a CNN trained for automated wolf howl detection, based on thousands of hours of soundscapes recorded in the wild.
Rafael Campos   +3 more
wiley   +1 more source

Camera traps and deep learning enable efficient large‐scale density estimation of wildlife in temperate forest ecosystems

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
We tested the effect of using a readily available deep learning algorithm for animal species classification on the population density estimates of eight wild mammal species in 10 protected areas (Da). In general, there were no significant differences to the manual estimates (Dm) for all animal species and seasons.
Maik Henrich   +15 more
wiley   +1 more source

Abiotic modelling options of estuarine areas as building blocks for ecological predictions [PDF]

open access: yes, 2017
Bruneel, Stijn   +4 more
core   +1 more source

Robotics‐assisted acoustic surveys could deliver reliable, landscape‐level biodiversity insights

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Deploying and maintaining sensors is often a major bottleneck in collecting rapid biodiversity data. We tested whether autonomous hopping drones equipped with acoustic recorders could collect reliable biodiversity data in Costa Rica. Using 26,000+ hours of existing audio from 341 sites, with machine learning detections of 19 bird species and spider ...
Peggy A. Bevan   +5 more
wiley   +1 more source

Comparing convolutional neural network and random forest for benthic habitat mapping in Apollo Marine Park

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
A comparison of Convolutional Neural Network (CNN) and Random Forest (RF) model predictions of benthic habitats within Apollo Marine Park. The CNN (left) and RF (right) classification maps show the spatial distribution of three habitat types: high energy circalittoral rock with seabed‐covering sponges, low complexity circalittoral rock with non‐crowded
Henry Simmons   +6 more
wiley   +1 more source

Programmed unmanned aerial vehicles show great potential for monitoring marine megafauna in specific areas of interest

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Targeted conservation measures are contingent on robust knowledge of spatio‐temporal animal distribution in areas of interest. We explore unmanned aerial vehicle (UAV) transect monitoring as a novel method for standardized digital aerial surveys of marine megafauna by investigating the fine‐resolution spatio‐temporal distribution of harbour porpoises ...
Dinah Hartmann   +2 more
wiley   +1 more source

Impact of parameterization in multiple acoustic index comparisons: practical cases in terrestrial and underwater soundscapes

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Parameter choices in acoustic analyses (sampling frequency, FFT size and window overlap) strongly influence multivariate soundscape separation. Using terrestrial and coral reef recordings, we show that these settings can exaggerate or mask ecological differences, emphasizing the need for parameter sensitivity testing and transparent reporting in ...
Juan C. Azofeifa‐Solano   +8 more
wiley   +1 more source

Incorporating environmental DNA metabarcoding for improved benthic biodiversity and habitat mapping

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Seafloor imagery is commonly used to collect information about the distribution of benthic organisms in order to generate habitat and biodiversity maps. Recent advances in genomics (e.g., environmental DNA; eDNA) show potential to complement video surveys for habitat mapping, but there have been few examples testing this.
Rylan J. Command   +8 more
wiley   +1 more source

Deep learning‐based ecological analysis of camera trap images is impacted by training data quality and quantity

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Machine learning image classifiers are increasingly being used to automate camera trap image labelling, but we don't know how much ML model accuracy matters for downstream ecological analyses. Using two large data sets from an African savannah and an Asian dry forest ecosystem, we compared human labelled data with predictions from deep‐learning models ...
Peggy A. Bevan   +12 more
wiley   +1 more source

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